| 1 |
0.779 |
0.756 |
0.802 |
RandomForestClassifier() |
<NA> |
0.051 |
97.000 |
1,544.000 |
24.000 |
2.000 |
0.513 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 2 |
0.778 |
0.756 |
0.799 |
RandomForestClassifier() |
<NA> |
0.010 |
100.000 |
2,000.000 |
35.000 |
1.000 |
0.500 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 3 |
0.777 |
0.754 |
0.800 |
RandomForestClassifier() |
<NA> |
0.010 |
62.000 |
2,000.000 |
35.000 |
1.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 4 |
0.777 |
0.754 |
0.800 |
RandomForestClassifier() |
<NA> |
0.070 |
56.000 |
1,870.000 |
49.000 |
2.000 |
0.563 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 5 |
0.777 |
0.755 |
0.800 |
RandomForestClassifier() |
<NA> |
0.010 |
100.000 |
2,000.000 |
50.000 |
1.000 |
0.539 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 6 |
0.777 |
0.756 |
0.798 |
RandomForestClassifier() |
<NA> |
0.035 |
63.000 |
859.000 |
21.000 |
1.000 |
0.916 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 7 |
0.776 |
0.756 |
0.797 |
RandomForestClassifier() |
<NA> |
0.010 |
61.000 |
1,153.000 |
50.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 8 |
0.776 |
0.755 |
0.798 |
RandomForestClassifier() |
<NA> |
0.016 |
32.000 |
869.000 |
25.000 |
2.000 |
0.772 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 9 |
0.776 |
0.755 |
0.797 |
RandomForestClassifier() |
<NA> |
0.010 |
33.000 |
2,000.000 |
50.000 |
1.000 |
1.000 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 10 |
0.776 |
0.754 |
0.798 |
RandomForestClassifier() |
<NA> |
0.010 |
44.000 |
2,000.000 |
19.000 |
1.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 11 |
0.776 |
0.754 |
0.798 |
RandomForestClassifier() |
<NA> |
0.010 |
42.000 |
2,000.000 |
50.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 12 |
0.776 |
0.754 |
0.797 |
RandomForestClassifier() |
<NA> |
0.010 |
100.000 |
2,000.000 |
31.000 |
1.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 13 |
0.776 |
0.753 |
0.798 |
RandomForestClassifier() |
<NA> |
0.010 |
100.000 |
2,000.000 |
50.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 14 |
0.775 |
0.751 |
0.799 |
RandomForestClassifier() |
<NA> |
0.010 |
83.000 |
500.000 |
50.000 |
1.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 15 |
0.775 |
0.753 |
0.797 |
RandomForestClassifier() |
<NA> |
0.010 |
59.000 |
2,000.000 |
40.000 |
1.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 16 |
0.775 |
0.751 |
0.799 |
RandomForestClassifier() |
<NA> |
0.027 |
13.000 |
565.000 |
7.000 |
3.000 |
0.512 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 17 |
0.775 |
0.753 |
0.797 |
RandomForestClassifier() |
<NA> |
0.010 |
62.000 |
2,000.000 |
37.000 |
1.000 |
0.500 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 18 |
0.775 |
0.752 |
0.797 |
RandomForestClassifier() |
<NA> |
0.010 |
80.000 |
708.000 |
28.000 |
1.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 19 |
0.775 |
0.752 |
0.797 |
RandomForestClassifier() |
<NA> |
0.010 |
74.000 |
2,000.000 |
26.000 |
1.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 20 |
0.774 |
0.751 |
0.798 |
RandomForestClassifier() |
<NA> |
0.010 |
100.000 |
500.000 |
50.000 |
1.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 21 |
0.774 |
0.752 |
0.797 |
RandomForestClassifier() |
<NA> |
0.010 |
84.000 |
2,000.000 |
50.000 |
1.000 |
0.620 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 22 |
0.774 |
0.754 |
0.795 |
RandomForestClassifier() |
<NA> |
0.071 |
49.000 |
586.000 |
20.000 |
2.000 |
0.730 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 23 |
0.774 |
0.751 |
0.797 |
RandomForestClassifier() |
<NA> |
0.010 |
100.000 |
2,000.000 |
50.000 |
1.000 |
0.761 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 24 |
0.774 |
0.752 |
0.796 |
RandomForestClassifier() |
<NA> |
0.010 |
100.000 |
500.000 |
50.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 25 |
0.774 |
0.751 |
0.796 |
RandomForestClassifier() |
<NA> |
0.010 |
55.000 |
2,000.000 |
20.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 26 |
0.773 |
0.753 |
0.794 |
RandomForestClassifier() |
<NA> |
0.010 |
42.000 |
2,000.000 |
32.000 |
1.000 |
1.000 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 27 |
0.773 |
0.753 |
0.793 |
RandomForestClassifier() |
<NA> |
0.023 |
19.000 |
1,276.000 |
3.000 |
2.000 |
0.993 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 28 |
0.772 |
0.751 |
0.794 |
RandomForestClassifier() |
<NA> |
0.010 |
43.000 |
1,940.000 |
34.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
CustomOrdinalEncoder() |
| 29 |
0.772 |
0.752 |
0.792 |
RandomForestClassifier() |
<NA> |
0.114 |
47.000 |
1,045.000 |
5.000 |
2.000 |
0.509 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 30 |
0.772 |
0.745 |
0.798 |
RandomForestClassifier() |
<NA> |
0.057 |
2.000 |
546.000 |
21.000 |
2.000 |
0.528 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 31 |
0.771 |
0.744 |
0.798 |
ExtraTreesClassifier() |
<NA> |
0.010 |
100.000 |
2,000.000 |
50.000 |
4.000 |
0.758 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 32 |
0.771 |
0.746 |
0.797 |
RandomForestClassifier() |
<NA> |
0.010 |
1.000 |
500.000 |
50.000 |
1.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 33 |
0.771 |
0.744 |
0.799 |
ExtraTreesClassifier() |
<NA> |
0.010 |
77.000 |
2,000.000 |
50.000 |
4.000 |
0.732 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 34 |
0.771 |
0.750 |
0.793 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.691 |
0.500 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 35 |
0.771 |
0.744 |
0.798 |
ExtraTreesClassifier() |
<NA> |
0.010 |
13.000 |
2,000.000 |
50.000 |
4.000 |
0.744 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 36 |
0.771 |
0.744 |
0.797 |
ExtraTreesClassifier() |
<NA> |
0.010 |
34.000 |
2,000.000 |
50.000 |
3.000 |
0.719 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 37 |
0.771 |
0.743 |
0.798 |
ExtraTreesClassifier() |
<NA> |
0.010 |
38.000 |
2,000.000 |
50.000 |
4.000 |
0.734 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 38 |
0.771 |
0.751 |
0.791 |
LogisticRegression() |
0.055 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 39 |
0.771 |
0.750 |
0.791 |
LogisticRegression() |
0.049 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 40 |
0.771 |
0.744 |
0.797 |
ExtraTreesClassifier() |
<NA> |
0.010 |
44.000 |
2,000.000 |
50.000 |
3.000 |
0.733 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 41 |
0.771 |
0.744 |
0.797 |
ExtraTreesClassifier() |
<NA> |
0.010 |
100.000 |
2,000.000 |
50.000 |
3.000 |
0.729 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 42 |
0.771 |
0.751 |
0.791 |
LogisticRegression() |
0.062 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 43 |
0.771 |
0.743 |
0.798 |
ExtraTreesClassifier() |
<NA> |
0.010 |
13.000 |
2,000.000 |
50.000 |
4.000 |
0.729 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 44 |
0.771 |
0.748 |
0.794 |
XGBClassifier() |
<NA> |
<NA> |
5.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.500 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 45 |
0.771 |
0.748 |
0.793 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.500 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 46 |
0.771 |
0.743 |
0.798 |
ExtraTreesClassifier() |
<NA> |
0.010 |
76.000 |
2,000.000 |
50.000 |
4.000 |
0.500 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 47 |
0.771 |
0.743 |
0.798 |
ExtraTreesClassifier() |
<NA> |
0.010 |
75.000 |
2,000.000 |
50.000 |
4.000 |
0.500 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 48 |
0.771 |
0.747 |
0.794 |
RandomForestClassifier() |
<NA> |
0.011 |
6.000 |
1,996.000 |
7.000 |
10.000 |
0.652 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 49 |
0.771 |
0.743 |
0.798 |
ExtraTreesClassifier() |
<NA> |
0.010 |
80.000 |
2,000.000 |
50.000 |
4.000 |
0.500 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 50 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.077 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 51 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.075 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 52 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.075 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 53 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.075 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 54 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 55 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 56 |
0.770 |
0.744 |
0.797 |
ExtraTreesClassifier() |
<NA> |
0.010 |
47.000 |
2,000.000 |
50.000 |
3.000 |
0.734 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 57 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.075 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 58 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 59 |
0.770 |
0.748 |
0.793 |
XGBClassifier() |
<NA> |
<NA> |
10.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.500 |
0.500 |
0.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 60 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 61 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 62 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 63 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 64 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 65 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 66 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 67 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 68 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.089 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 69 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 70 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 71 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 72 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 73 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 74 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 75 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 76 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 77 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 78 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 79 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 80 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 81 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.007 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 82 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 83 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 84 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 85 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.073 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 86 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.073 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 87 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 88 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 89 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 90 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 91 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 92 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 93 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 94 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 95 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 96 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 97 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 98 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.074 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 99 |
0.770 |
0.750 |
0.791 |
RandomForestClassifier() |
<NA> |
0.060 |
96.000 |
575.000 |
26.000 |
3.000 |
0.592 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 100 |
0.770 |
0.748 |
0.792 |
RandomForestClassifier() |
<NA> |
0.206 |
19.000 |
1,985.000 |
6.000 |
2.000 |
0.749 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 101 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 102 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 103 |
0.770 |
0.750 |
0.791 |
LogisticRegression() |
0.087 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 104 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 105 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 106 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 107 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 108 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 109 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 110 |
0.770 |
0.747 |
0.793 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.505 |
0.849 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 111 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 112 |
0.770 |
0.749 |
0.791 |
RandomForestClassifier() |
<NA> |
0.040 |
95.000 |
1,003.000 |
33.000 |
15.000 |
0.947 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 113 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 114 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 115 |
0.770 |
0.750 |
0.790 |
LogisticRegression() |
0.092 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 116 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 117 |
0.770 |
0.749 |
0.791 |
LinearSVC() |
0.005 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 118 |
0.770 |
0.750 |
0.790 |
LogisticRegression() |
0.067 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
None |
OneHotEncoder() |
| 119 |
0.770 |
0.748 |
0.791 |
XGBClassifier() |
<NA> |
<NA> |
8.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.725 |
0.500 |
0.500 |
0.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 120 |
0.770 |
0.742 |
0.798 |
ExtraTreesClassifier() |
<NA> |
0.036 |
46.000 |
1,618.000 |
42.000 |
3.000 |
0.717 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 121 |
0.770 |
0.743 |
0.796 |
ExtraTreesClassifier() |
<NA> |
0.010 |
61.000 |
2,000.000 |
33.000 |
3.000 |
0.753 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 122 |
0.770 |
0.749 |
0.791 |
RandomForestClassifier() |
<NA> |
0.044 |
39.000 |
1,564.000 |
47.000 |
4.000 |
0.552 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
CustomOrdinalEncoder() |
| 123 |
0.770 |
0.750 |
0.790 |
LinearSVC() |
0.004 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 124 |
0.770 |
0.748 |
0.791 |
LinearSVC() |
0.009 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 125 |
0.770 |
0.742 |
0.797 |
ExtraTreesClassifier() |
<NA> |
0.010 |
31.000 |
2,000.000 |
50.000 |
5.000 |
0.795 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 126 |
0.770 |
0.744 |
0.795 |
ExtraTreesClassifier() |
<NA> |
0.010 |
62.000 |
1,869.000 |
20.000 |
3.000 |
0.704 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 127 |
0.769 |
0.748 |
0.790 |
LinearSVC() |
0.009 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 128 |
0.769 |
0.749 |
0.790 |
LogisticRegression() |
0.121 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 129 |
0.769 |
0.749 |
0.789 |
LinearSVC() |
0.004 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 130 |
0.769 |
0.742 |
0.797 |
ExtraTreesClassifier() |
<NA> |
0.010 |
81.000 |
2,000.000 |
50.000 |
5.000 |
0.779 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 131 |
0.769 |
0.740 |
0.798 |
ExtraTreesClassifier() |
<NA> |
0.010 |
100.000 |
2,000.000 |
50.000 |
7.000 |
0.908 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 132 |
0.769 |
0.746 |
0.792 |
XGBClassifier() |
<NA> |
<NA> |
4.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
2.000 |
0.500 |
0.500 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 133 |
0.769 |
0.747 |
0.791 |
XGBClassifier() |
<NA> |
<NA> |
13.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.500 |
0.500 |
0.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 134 |
0.769 |
0.748 |
0.790 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
2.000 |
0.766 |
0.511 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 135 |
0.769 |
0.746 |
0.792 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.755 |
0.500 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 136 |
0.769 |
0.748 |
0.790 |
LinearSVC() |
0.008 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
None |
OneHotEncoder() |
| 137 |
0.769 |
0.749 |
0.789 |
LogisticRegression() |
0.097 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 138 |
0.769 |
0.747 |
0.791 |
RandomForestClassifier() |
<NA> |
0.270 |
80.000 |
576.000 |
44.000 |
2.000 |
0.882 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 139 |
0.768 |
0.743 |
0.793 |
ExtraTreesClassifier() |
<NA> |
0.010 |
10.000 |
2,000.000 |
50.000 |
1.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 140 |
0.768 |
0.746 |
0.790 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
2.000 |
0.500 |
0.604 |
0.617 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 141 |
0.768 |
0.742 |
0.794 |
RandomForestClassifier() |
<NA> |
0.010 |
1.000 |
1,398.000 |
33.000 |
1.000 |
0.500 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 142 |
0.768 |
0.741 |
0.795 |
ExtraTreesClassifier() |
<NA> |
0.070 |
40.000 |
1,169.000 |
44.000 |
1.000 |
0.684 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 143 |
0.768 |
0.748 |
0.788 |
LinearSVC() |
0.011 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 144 |
0.768 |
0.748 |
0.788 |
LogisticRegression() |
0.132 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
StandardScaler() |
None |
OneHotEncoder() |
| 145 |
0.768 |
0.747 |
0.789 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.767 |
0.500 |
0.769 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 146 |
0.768 |
0.743 |
0.792 |
ExtraTreesClassifier() |
<NA> |
0.010 |
96.000 |
2,000.000 |
50.000 |
1.000 |
0.851 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 147 |
0.768 |
0.746 |
0.790 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.500 |
1.000 |
0.137 |
3.234 |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 148 |
0.767 |
0.743 |
0.792 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.672 |
0.500 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 149 |
0.767 |
0.747 |
0.788 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
2.000 |
0.500 |
0.500 |
0.500 |
0.120 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 150 |
0.767 |
0.746 |
0.788 |
RandomForestClassifier() |
<NA> |
0.016 |
97.000 |
540.000 |
43.000 |
2.000 |
0.979 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 151 |
0.766 |
0.737 |
0.796 |
ExtraTreesClassifier() |
<NA> |
0.010 |
3.000 |
2,000.000 |
50.000 |
3.000 |
0.716 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 152 |
0.766 |
0.745 |
0.787 |
LinearSVC() |
0.018 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
None |
OneHotEncoder() |
| 153 |
0.766 |
0.743 |
0.790 |
RandomForestClassifier() |
<NA> |
0.350 |
77.000 |
1,998.000 |
18.000 |
1.000 |
0.992 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 154 |
0.766 |
0.743 |
0.790 |
RandomForestClassifier() |
<NA> |
0.042 |
70.000 |
1,849.000 |
49.000 |
22.000 |
0.672 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 155 |
0.766 |
0.740 |
0.793 |
ExtraTreesClassifier() |
<NA> |
0.021 |
17.000 |
1,773.000 |
38.000 |
2.000 |
0.925 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 156 |
0.766 |
0.744 |
0.788 |
ExtraTreesClassifier() |
<NA> |
0.023 |
57.000 |
1,928.000 |
8.000 |
1.000 |
0.514 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 157 |
0.766 |
0.745 |
0.786 |
XGBClassifier() |
<NA> |
<NA> |
2.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.500 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 158 |
0.766 |
0.737 |
0.794 |
ExtraTreesClassifier() |
<NA> |
0.010 |
32.000 |
2,000.000 |
37.000 |
12.000 |
0.743 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 159 |
0.765 |
0.742 |
0.789 |
RandomForestClassifier() |
<NA> |
0.080 |
11.000 |
1,950.000 |
50.000 |
15.000 |
0.838 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
CustomOrdinalEncoder() |
| 160 |
0.765 |
0.746 |
0.784 |
RandomForestClassifier() |
<NA> |
0.094 |
89.000 |
865.000 |
50.000 |
5.000 |
0.555 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 161 |
0.765 |
0.747 |
0.783 |
RandomForestClassifier() |
<NA> |
0.016 |
95.000 |
1,900.000 |
23.000 |
7.000 |
0.667 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 162 |
0.765 |
0.743 |
0.787 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.500 |
1.000 |
1.000 |
1.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 163 |
0.765 |
0.733 |
0.797 |
ExtraTreesClassifier() |
<NA> |
0.010 |
1.000 |
1,379.000 |
50.000 |
7.000 |
0.500 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 164 |
0.765 |
0.735 |
0.795 |
ExtraTreesClassifier() |
<NA> |
0.105 |
84.000 |
692.000 |
32.000 |
1.000 |
0.639 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 165 |
0.765 |
0.738 |
0.791 |
ExtraTreesClassifier() |
<NA> |
0.010 |
100.000 |
500.000 |
50.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 166 |
0.765 |
0.738 |
0.791 |
RandomForestClassifier() |
<NA> |
0.017 |
2.000 |
1,934.000 |
4.000 |
1.000 |
0.756 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
CustomOrdinalEncoder() |
| 167 |
0.764 |
0.742 |
0.787 |
RandomForestClassifier() |
<NA> |
0.032 |
100.000 |
1,028.000 |
23.000 |
31.000 |
0.586 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 168 |
0.764 |
0.734 |
0.795 |
LogisticRegression() |
0.054 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
None |
OneHotEncoder() |
| 169 |
0.764 |
0.734 |
0.794 |
LinearSVC() |
0.006 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 170 |
0.764 |
0.745 |
0.783 |
ExtraTreesClassifier() |
<NA> |
0.017 |
7.000 |
1,885.000 |
6.000 |
5.000 |
0.951 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
CustomOrdinalEncoder() |
| 171 |
0.764 |
0.743 |
0.785 |
LinearSVC() |
0.002 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
None |
OneHotEncoder() |
| 172 |
0.764 |
0.742 |
0.787 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
2.000 |
0.500 |
1.000 |
0.553 |
0.203 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 173 |
0.764 |
0.733 |
0.796 |
ExtraTreesClassifier() |
<NA> |
0.010 |
1.000 |
2,000.000 |
50.000 |
8.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 174 |
0.764 |
0.734 |
0.794 |
LinearSVC() |
0.011 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
None |
OneHotEncoder() |
| 175 |
0.764 |
0.735 |
0.793 |
LogisticRegression() |
0.125 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 176 |
0.763 |
0.743 |
0.783 |
XGBClassifier() |
<NA> |
<NA> |
10.000 |
1,216.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.500 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 177 |
0.763 |
0.745 |
0.781 |
ExtraTreesClassifier() |
<NA> |
0.010 |
100.000 |
2,000.000 |
50.000 |
4.000 |
0.787 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
CustomOrdinalEncoder() |
| 178 |
0.763 |
0.736 |
0.790 |
LogisticRegression() |
0.281 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 179 |
0.763 |
0.740 |
0.786 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
530.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
2.000 |
0.500 |
0.770 |
0.563 |
0.414 |
1.793 |
SimpleImputer() |
None |
None |
CustomOrdinalEncoder() |
| 180 |
0.763 |
0.735 |
0.791 |
ExtraTreesClassifier() |
<NA> |
0.051 |
83.000 |
1,727.000 |
22.000 |
11.000 |
0.977 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 181 |
0.763 |
0.733 |
0.793 |
LogisticRegression() |
0.031 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 182 |
0.763 |
0.743 |
0.783 |
RandomForestClassifier() |
<NA> |
0.010 |
100.000 |
2,000.000 |
2.000 |
1.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 183 |
0.763 |
0.748 |
0.778 |
ExtraTreesClassifier() |
<NA> |
0.010 |
77.000 |
2,000.000 |
2.000 |
1.000 |
0.870 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 184 |
0.763 |
0.741 |
0.785 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.741 |
0.500 |
0.500 |
0.000 |
4.000 |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 185 |
0.763 |
0.743 |
0.783 |
XGBClassifier() |
<NA> |
<NA> |
10.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.720 |
1.000 |
0.576 |
1.000 |
3.797 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 186 |
0.762 |
0.741 |
0.784 |
XGBClassifier() |
<NA> |
<NA> |
11.000 |
536.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.013 |
2.000 |
0.661 |
0.525 |
0.683 |
0.063 |
2.415 |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 187 |
0.762 |
0.741 |
0.783 |
RandomForestClassifier() |
<NA> |
0.488 |
35.000 |
1,033.000 |
32.000 |
8.000 |
0.613 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 188 |
0.762 |
0.741 |
0.784 |
ExtraTreesClassifier() |
<NA> |
0.025 |
18.000 |
800.000 |
39.000 |
4.000 |
0.532 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 189 |
0.762 |
0.732 |
0.792 |
ExtraTreesClassifier() |
<NA> |
0.010 |
1.000 |
1,707.000 |
2.000 |
1.000 |
0.599 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 190 |
0.762 |
0.732 |
0.792 |
LogisticRegression() |
0.023 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
None |
OneHotEncoder() |
| 191 |
0.762 |
0.737 |
0.787 |
LinearSVC() |
0.059 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 192 |
0.761 |
0.738 |
0.785 |
RandomForestClassifier() |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 193 |
0.761 |
0.736 |
0.787 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
2.000 |
0.796 |
1.000 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
CustomOrdinalEncoder() |
| 194 |
0.761 |
0.745 |
0.778 |
ExtraTreesClassifier() |
<NA> |
0.010 |
100.000 |
500.000 |
2.000 |
1.000 |
0.500 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 195 |
0.761 |
0.740 |
0.781 |
RandomForestClassifier() |
<NA> |
0.025 |
3.000 |
1,534.000 |
3.000 |
45.000 |
0.928 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 196 |
0.761 |
0.732 |
0.789 |
ExtraTreesClassifier() |
<NA> |
0.058 |
12.000 |
533.000 |
37.000 |
13.000 |
0.993 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 197 |
0.761 |
0.740 |
0.781 |
LinearSVC() |
0.089 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 198 |
0.761 |
0.737 |
0.785 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
1.000 |
0.747 |
0.000 |
1.000 |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 199 |
0.760 |
0.730 |
0.790 |
LogisticRegression() |
0.012 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 200 |
0.760 |
0.734 |
0.786 |
ExtraTreesClassifier() |
<NA> |
0.950 |
71.000 |
640.000 |
50.000 |
1.000 |
0.500 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 201 |
0.759 |
0.741 |
0.778 |
RandomForestClassifier() |
<NA> |
0.030 |
11.000 |
663.000 |
49.000 |
49.000 |
0.606 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 202 |
0.759 |
0.736 |
0.782 |
RandomForestClassifier() |
<NA> |
0.947 |
13.000 |
1,822.000 |
50.000 |
2.000 |
0.857 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 203 |
0.759 |
0.735 |
0.784 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.762 |
1.000 |
0.000 |
1.000 |
SimpleImputer() |
None |
None |
CustomOrdinalEncoder() |
| 204 |
0.759 |
0.734 |
0.785 |
RandomForestClassifier() |
<NA> |
0.879 |
40.000 |
1,540.000 |
19.000 |
1.000 |
0.501 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 205 |
0.759 |
0.739 |
0.779 |
RandomForestClassifier() |
<NA> |
0.098 |
94.000 |
804.000 |
40.000 |
46.000 |
0.945 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 206 |
0.759 |
0.735 |
0.783 |
RandomForestClassifier() |
<NA> |
0.595 |
94.000 |
1,235.000 |
6.000 |
2.000 |
0.611 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 207 |
0.759 |
0.737 |
0.781 |
LinearSVC() |
0.140 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
None |
OneHotEncoder() |
| 208 |
0.758 |
0.736 |
0.781 |
LogisticRegression() |
0.897 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
None |
OneHotEncoder() |
| 209 |
0.758 |
0.738 |
0.779 |
RandomForestClassifier() |
<NA> |
0.025 |
20.000 |
945.000 |
30.000 |
49.000 |
0.523 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 210 |
0.758 |
0.747 |
0.770 |
ExtraTreesClassifier() |
<NA> |
0.010 |
49.000 |
2,000.000 |
2.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 211 |
0.758 |
0.733 |
0.784 |
ExtraTreesClassifier() |
<NA> |
0.915 |
89.000 |
1,892.000 |
34.000 |
1.000 |
0.737 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 212 |
0.758 |
0.736 |
0.780 |
RandomForestClassifier() |
<NA> |
0.826 |
93.000 |
1,047.000 |
49.000 |
5.000 |
0.918 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 213 |
0.758 |
0.735 |
0.781 |
LogisticRegression() |
0.007 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
None |
OneHotEncoder() |
| 214 |
0.758 |
0.733 |
0.782 |
ExtraTreesClassifier() |
<NA> |
0.307 |
54.000 |
691.000 |
12.000 |
6.000 |
0.898 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 215 |
0.758 |
0.734 |
0.781 |
ExtraTreesClassifier() |
<NA> |
0.506 |
57.000 |
1,593.000 |
44.000 |
3.000 |
0.748 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 216 |
0.758 |
0.739 |
0.777 |
LogisticRegression() |
1.209 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 217 |
0.757 |
0.732 |
0.783 |
ExtraTreesClassifier() |
<NA> |
0.505 |
87.000 |
1,944.000 |
34.000 |
8.000 |
0.522 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 218 |
0.757 |
0.738 |
0.777 |
LogisticRegression() |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
None |
OneHotEncoder() |
| 219 |
0.757 |
0.747 |
0.768 |
ExtraTreesClassifier() |
<NA> |
0.010 |
79.000 |
500.000 |
2.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 220 |
0.757 |
0.732 |
0.782 |
ExtraTreesClassifier() |
<NA> |
0.505 |
94.000 |
1,899.000 |
44.000 |
6.000 |
0.905 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 221 |
0.757 |
0.734 |
0.780 |
XGBClassifier() |
<NA> |
<NA> |
3.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.795 |
0.578 |
0.641 |
1.000 |
1.528 |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 222 |
0.757 |
0.735 |
0.779 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.778 |
1.000 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 223 |
0.757 |
0.735 |
0.779 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
4.000 |
0.500 |
0.952 |
0.695 |
1.000 |
4.000 |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 224 |
0.757 |
0.738 |
0.776 |
LinearSVC() |
0.237 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 225 |
0.757 |
0.733 |
0.780 |
ExtraTreesClassifier() |
<NA> |
0.560 |
11.000 |
1,663.000 |
42.000 |
7.000 |
0.998 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
CustomOrdinalEncoder() |
| 226 |
0.757 |
0.736 |
0.777 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
6.000 |
0.640 |
0.500 |
0.500 |
0.003 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 227 |
0.756 |
0.734 |
0.778 |
RandomForestClassifier() |
<NA> |
0.010 |
100.000 |
500.000 |
2.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 228 |
0.756 |
0.727 |
0.784 |
LogisticRegression() |
0.001 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
MinMaxScaler() |
None |
OneHotEncoder() |
| 229 |
0.755 |
0.730 |
0.781 |
RandomForestClassifier() |
<NA> |
0.592 |
21.000 |
1,165.000 |
48.000 |
1.000 |
0.552 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 230 |
0.755 |
0.727 |
0.784 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
None |
OneHotEncoder() |
| 231 |
0.755 |
0.727 |
0.784 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
None |
OneHotEncoder() |
| 232 |
0.755 |
0.727 |
0.784 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 233 |
0.755 |
0.727 |
0.784 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 234 |
0.755 |
0.730 |
0.779 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
779.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
3.000 |
0.500 |
0.874 |
0.509 |
0.003 |
2.278 |
SimpleImputer(strategy='most_frequent') |
None |
None |
CustomOrdinalEncoder() |
| 235 |
0.755 |
0.738 |
0.771 |
ExtraTreesClassifier() |
<NA> |
0.018 |
100.000 |
686.000 |
30.000 |
12.000 |
0.831 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 236 |
0.755 |
0.731 |
0.778 |
ExtraTreesClassifier() |
<NA> |
0.738 |
45.000 |
606.000 |
6.000 |
15.000 |
0.995 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 237 |
0.755 |
0.733 |
0.776 |
RandomForestClassifier() |
<NA> |
0.058 |
24.000 |
1,363.000 |
7.000 |
24.000 |
0.631 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 238 |
0.755 |
0.732 |
0.777 |
XGBClassifier() |
<NA> |
<NA> |
2.000 |
660.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
8.000 |
0.677 |
0.501 |
0.926 |
0.000 |
1.037 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 239 |
0.754 |
0.726 |
0.783 |
LinearSVC() |
0.001 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
None |
OneHotEncoder() |
| 240 |
0.754 |
0.728 |
0.781 |
ExtraTreesClassifier() |
<NA> |
0.058 |
40.000 |
1,962.000 |
45.000 |
40.000 |
0.982 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 241 |
0.754 |
0.736 |
0.772 |
RandomForestClassifier() |
<NA> |
0.035 |
85.000 |
791.000 |
9.000 |
48.000 |
0.502 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 242 |
0.754 |
0.730 |
0.778 |
ExtraTreesClassifier() |
<NA> |
0.760 |
100.000 |
1,678.000 |
2.000 |
1.000 |
0.578 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 243 |
0.754 |
0.726 |
0.781 |
ExtraTreesClassifier() |
<NA> |
0.941 |
72.000 |
906.000 |
24.000 |
1.000 |
0.953 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 244 |
0.754 |
0.728 |
0.779 |
RandomForestClassifier() |
<NA> |
0.950 |
87.000 |
1,550.000 |
41.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 245 |
0.753 |
0.733 |
0.774 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.500 |
0.500 |
0.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 246 |
0.753 |
0.726 |
0.779 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.500 |
1.000 |
0.000 |
1.000 |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 247 |
0.752 |
0.726 |
0.778 |
ExtraTreesClassifier() |
<NA> |
0.946 |
7.000 |
885.000 |
48.000 |
13.000 |
0.523 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 248 |
0.752 |
0.721 |
0.782 |
ExtraTreesClassifier() |
<NA> |
0.031 |
73.000 |
1,752.000 |
24.000 |
32.000 |
0.983 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 249 |
0.752 |
0.728 |
0.775 |
ExtraTreesClassifier() |
<NA> |
0.950 |
51.000 |
2,000.000 |
50.000 |
8.000 |
0.624 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 250 |
0.752 |
0.727 |
0.777 |
LinearSVC() |
0.001 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 251 |
0.752 |
0.723 |
0.780 |
LinearSVC() |
0.001 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 252 |
0.751 |
0.725 |
0.778 |
ExtraTreesClassifier() |
<NA> |
0.013 |
49.000 |
518.000 |
22.000 |
36.000 |
0.512 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 253 |
0.751 |
0.729 |
0.774 |
RandomForestClassifier() |
<NA> |
0.936 |
83.000 |
665.000 |
50.000 |
7.000 |
0.516 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 254 |
0.751 |
0.727 |
0.775 |
RandomForestClassifier() |
<NA> |
0.849 |
13.000 |
607.000 |
2.000 |
5.000 |
0.969 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 255 |
0.751 |
0.729 |
0.772 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
1.000 |
0.500 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 256 |
0.751 |
0.727 |
0.774 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
8.000 |
0.650 |
0.805 |
0.500 |
1.000 |
1.150 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 257 |
0.751 |
0.732 |
0.769 |
LogisticRegression() |
4.732 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
None |
OneHotEncoder() |
| 258 |
0.750 |
0.729 |
0.772 |
XGBClassifier() |
<NA> |
<NA> |
5.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
12.000 |
0.755 |
0.500 |
0.817 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 259 |
0.750 |
0.719 |
0.781 |
ExtraTreesClassifier() |
<NA> |
0.029 |
1.000 |
1,721.000 |
7.000 |
19.000 |
0.666 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 260 |
0.750 |
0.732 |
0.768 |
LinearSVC() |
3.171 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 261 |
0.750 |
0.733 |
0.767 |
ExtraTreesClassifier() |
<NA> |
0.051 |
2.000 |
576.000 |
19.000 |
13.000 |
0.974 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
CustomOrdinalEncoder() |
| 262 |
0.749 |
0.732 |
0.767 |
LinearSVC() |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
None |
OneHotEncoder() |
| 263 |
0.749 |
0.733 |
0.766 |
RandomForestClassifier() |
<NA> |
0.031 |
48.000 |
1,751.000 |
48.000 |
48.000 |
0.979 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 264 |
0.749 |
0.731 |
0.768 |
LinearSVC() |
2.341 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 265 |
0.749 |
0.726 |
0.772 |
RandomForestClassifier() |
<NA> |
0.293 |
100.000 |
878.000 |
42.000 |
38.000 |
0.532 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 266 |
0.749 |
0.729 |
0.769 |
RandomForestClassifier() |
<NA> |
0.265 |
17.000 |
650.000 |
25.000 |
22.000 |
0.547 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 267 |
0.749 |
0.729 |
0.769 |
ExtraTreesClassifier() |
<NA> |
0.010 |
100.000 |
2,000.000 |
2.000 |
13.000 |
0.500 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
CustomOrdinalEncoder() |
| 268 |
0.749 |
0.723 |
0.774 |
ExtraTreesClassifier() |
<NA> |
0.937 |
95.000 |
1,941.000 |
49.000 |
20.000 |
0.730 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 269 |
0.748 |
0.724 |
0.773 |
ExtraTreesClassifier() |
<NA> |
0.201 |
65.000 |
565.000 |
27.000 |
24.000 |
0.987 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 270 |
0.748 |
0.730 |
0.766 |
LinearSVC() |
4.448 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 271 |
0.748 |
0.719 |
0.778 |
ExtraTreesClassifier() |
<NA> |
0.010 |
1.000 |
2,000.000 |
2.000 |
50.000 |
1.000 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 272 |
0.748 |
0.727 |
0.769 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
515.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
15.000 |
0.702 |
1.000 |
1.000 |
1.000 |
1.000 |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 273 |
0.747 |
0.730 |
0.764 |
LinearSVC() |
1.907 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
None |
OneHotEncoder() |
| 274 |
0.747 |
0.723 |
0.772 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
582.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.016 |
3.000 |
0.500 |
0.903 |
0.505 |
0.000 |
1.061 |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 275 |
0.747 |
0.725 |
0.768 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
1,434.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.012 |
1.000 |
0.746 |
0.842 |
0.656 |
0.000 |
2.214 |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 276 |
0.747 |
0.723 |
0.771 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.500 |
0.579 |
0.562 |
1.000 |
2.486 |
SimpleImputer() |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 277 |
0.747 |
0.721 |
0.772 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
24.000 |
1.000 |
0.880 |
0.500 |
1.000 |
1.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 278 |
0.747 |
0.728 |
0.765 |
RandomForestClassifier() |
<NA> |
0.060 |
99.000 |
1,612.000 |
7.000 |
50.000 |
0.820 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 279 |
0.746 |
0.722 |
0.770 |
ExtraTreesClassifier() |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 280 |
0.746 |
0.726 |
0.767 |
XGBClassifier() |
<NA> |
<NA> |
5.000 |
1,130.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.014 |
7.000 |
0.513 |
0.885 |
0.899 |
0.360 |
1.495 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 281 |
0.745 |
0.727 |
0.762 |
LogisticRegression() |
98.285 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 282 |
0.745 |
0.728 |
0.762 |
LogisticRegression() |
23.327 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
StandardScaler() |
None |
OneHotEncoder() |
| 283 |
0.745 |
0.726 |
0.763 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
3.000 |
0.500 |
0.500 |
1.000 |
1.000 |
4.000 |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 284 |
0.744 |
0.721 |
0.767 |
ExtraTreesClassifier() |
<NA> |
0.031 |
37.000 |
589.000 |
25.000 |
50.000 |
0.527 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 285 |
0.744 |
0.726 |
0.762 |
LogisticRegression() |
100.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 286 |
0.744 |
0.723 |
0.765 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.040 |
12.000 |
1.000 |
0.500 |
0.833 |
0.633 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 287 |
0.744 |
0.723 |
0.764 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
10.000 |
0.525 |
0.500 |
1.000 |
0.102 |
4.000 |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 288 |
0.743 |
0.722 |
0.764 |
RandomForestClassifier() |
<NA> |
0.667 |
21.000 |
1,313.000 |
38.000 |
28.000 |
0.745 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 289 |
0.743 |
0.717 |
0.769 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.753 |
0.605 |
0.501 |
1.000 |
1.993 |
SimpleImputer(strategy='most_frequent') |
None |
None |
CustomOrdinalEncoder() |
| 290 |
0.742 |
0.718 |
0.765 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.984 |
1.000 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
CustomOrdinalEncoder() |
| 291 |
0.741 |
0.719 |
0.763 |
ExtraTreesClassifier() |
<NA> |
0.950 |
100.000 |
967.000 |
2.000 |
17.000 |
0.500 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 292 |
0.741 |
0.718 |
0.763 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
0.856 |
1.000 |
1.000 |
1.000 |
1.648 |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 293 |
0.741 |
0.715 |
0.766 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
3.000 |
0.831 |
0.519 |
0.500 |
0.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 294 |
0.740 |
0.719 |
0.761 |
ExtraTreesClassifier() |
<NA> |
0.011 |
4.000 |
671.000 |
39.000 |
29.000 |
0.501 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 295 |
0.740 |
0.721 |
0.760 |
ExtraTreesClassifier() |
<NA> |
0.402 |
81.000 |
732.000 |
24.000 |
31.000 |
0.997 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 296 |
0.740 |
0.718 |
0.762 |
ExtraTreesClassifier() |
<NA> |
0.729 |
16.000 |
716.000 |
34.000 |
26.000 |
0.998 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 297 |
0.740 |
0.717 |
0.763 |
RandomForestClassifier() |
<NA> |
0.543 |
40.000 |
732.000 |
40.000 |
37.000 |
0.637 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 298 |
0.740 |
0.720 |
0.759 |
ExtraTreesClassifier() |
<NA> |
0.669 |
17.000 |
1,860.000 |
28.000 |
35.000 |
0.601 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 299 |
0.739 |
0.719 |
0.759 |
RandomForestClassifier() |
<NA> |
0.840 |
5.000 |
880.000 |
24.000 |
34.000 |
0.541 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 300 |
0.739 |
0.714 |
0.764 |
ExtraTreesClassifier() |
<NA> |
0.763 |
81.000 |
656.000 |
48.000 |
29.000 |
0.907 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 301 |
0.739 |
0.719 |
0.759 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
599.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.011 |
1.000 |
1.000 |
1.000 |
0.838 |
0.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 302 |
0.738 |
0.717 |
0.759 |
RandomForestClassifier() |
<NA> |
0.560 |
74.000 |
1,544.000 |
14.000 |
42.000 |
0.603 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 303 |
0.738 |
0.715 |
0.762 |
XGBClassifier() |
<NA> |
<NA> |
10.000 |
1,519.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.018 |
11.000 |
0.527 |
0.546 |
0.947 |
0.000 |
2.109 |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 304 |
0.738 |
0.718 |
0.758 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
2.000 |
0.826 |
1.000 |
1.000 |
0.000 |
3.104 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 305 |
0.737 |
0.712 |
0.761 |
RandomForestClassifier() |
<NA> |
0.851 |
1.000 |
844.000 |
3.000 |
6.000 |
0.504 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 306 |
0.736 |
0.707 |
0.765 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
20.000 |
1.000 |
1.000 |
0.639 |
0.003 |
4.000 |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 307 |
0.735 |
0.706 |
0.765 |
LogisticRegression() |
0.001 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 308 |
0.735 |
0.710 |
0.759 |
RandomForestClassifier() |
<NA> |
0.861 |
99.000 |
1,556.000 |
13.000 |
27.000 |
0.699 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 309 |
0.734 |
0.712 |
0.757 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
6.000 |
0.892 |
1.000 |
0.500 |
0.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
CustomOrdinalEncoder() |
| 310 |
0.734 |
0.714 |
0.754 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
1,005.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
2.000 |
1.000 |
0.801 |
0.682 |
0.208 |
1.000 |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 311 |
0.734 |
0.713 |
0.755 |
ExtraTreesClassifier() |
<NA> |
0.894 |
58.000 |
1,210.000 |
11.000 |
40.000 |
0.994 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
CustomOrdinalEncoder() |
| 312 |
0.733 |
0.711 |
0.756 |
ExtraTreesClassifier() |
<NA> |
0.920 |
27.000 |
709.000 |
44.000 |
50.000 |
0.576 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 313 |
0.733 |
0.711 |
0.755 |
XGBClassifier() |
<NA> |
<NA> |
10.000 |
1,267.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.022 |
33.000 |
0.985 |
0.644 |
0.850 |
0.864 |
3.999 |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 314 |
0.731 |
0.713 |
0.750 |
LogisticRegression() |
0.027 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
None |
CustomOrdinalEncoder() |
| 315 |
0.731 |
0.715 |
0.747 |
RandomForestClassifier() |
<NA> |
0.826 |
100.000 |
1,076.000 |
42.000 |
50.000 |
0.698 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 316 |
0.731 |
0.712 |
0.750 |
LinearSVC() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 317 |
0.731 |
0.716 |
0.746 |
RandomForestClassifier() |
<NA> |
0.916 |
56.000 |
655.000 |
2.000 |
49.000 |
0.553 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
OneHotEncoder() |
| 318 |
0.731 |
0.706 |
0.756 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
1.000 |
1.000 |
1.000 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 319 |
0.731 |
0.715 |
0.747 |
ExtraTreesClassifier() |
<NA> |
0.020 |
69.000 |
1,709.000 |
23.000 |
49.000 |
0.929 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
CustomOrdinalEncoder() |
| 320 |
0.731 |
0.712 |
0.749 |
LogisticRegression() |
0.004 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 321 |
0.731 |
0.709 |
0.752 |
ExtraTreesClassifier() |
<NA> |
0.812 |
5.000 |
1,864.000 |
44.000 |
46.000 |
0.912 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 322 |
0.730 |
0.699 |
0.761 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
None |
OneHotEncoder() |
| 323 |
0.729 |
0.710 |
0.748 |
LinearSVC() |
0.003 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
None |
CustomOrdinalEncoder() |
| 324 |
0.729 |
0.698 |
0.760 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
None |
OneHotEncoder() |
| 325 |
0.729 |
0.704 |
0.753 |
ExtraTreesClassifier() |
<NA> |
0.950 |
1.000 |
500.000 |
2.000 |
1.000 |
1.000 |
gini |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
CustomOrdinalEncoder() |
| 326 |
0.729 |
0.705 |
0.752 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
50.000 |
1.000 |
1.000 |
0.500 |
1.000 |
4.000 |
SimpleImputer(strategy='most_frequent') |
None |
None |
CustomOrdinalEncoder() |
| 327 |
0.728 |
0.697 |
0.760 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 328 |
0.728 |
0.707 |
0.749 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
1,208.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.300 |
1.000 |
0.879 |
1.000 |
1.000 |
1.000 |
2.751 |
SimpleImputer(strategy='most_frequent') |
None |
None |
OneHotEncoder() |
| 329 |
0.728 |
0.706 |
0.750 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
1,411.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.012 |
1.000 |
1.000 |
0.500 |
0.545 |
0.000 |
2.614 |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 330 |
0.728 |
0.697 |
0.759 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
None |
OneHotEncoder() |
| 331 |
0.728 |
0.706 |
0.750 |
ExtraTreesClassifier() |
<NA> |
0.894 |
24.000 |
798.000 |
31.000 |
41.000 |
0.517 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 332 |
0.728 |
0.710 |
0.746 |
LogisticRegression() |
0.251 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
None |
CustomOrdinalEncoder() |
| 333 |
0.727 |
0.703 |
0.751 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
2,000.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.020 |
1.000 |
0.617 |
0.948 |
0.883 |
0.000 |
2.928 |
SimpleImputer(strategy='most_frequent') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 334 |
0.727 |
0.710 |
0.744 |
LinearSVC() |
0.030 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 335 |
0.726 |
0.707 |
0.745 |
LinearSVC() |
0.377 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
None |
CustomOrdinalEncoder() |
| 336 |
0.726 |
0.704 |
0.747 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
StandardScaler() |
None |
CustomOrdinalEncoder() |
| 337 |
0.725 |
0.706 |
0.744 |
LinearSVC() |
0.718 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
None |
CustomOrdinalEncoder() |
| 338 |
0.725 |
0.707 |
0.743 |
LogisticRegression() |
88.004 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
None |
CustomOrdinalEncoder() |
| 339 |
0.725 |
0.707 |
0.743 |
LogisticRegression() |
98.262 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
None |
CustomOrdinalEncoder() |
| 340 |
0.725 |
0.709 |
0.741 |
LogisticRegression() |
3.489 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
StandardScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 341 |
0.725 |
0.700 |
0.749 |
XGBClassifier() |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 342 |
0.724 |
0.707 |
0.740 |
LogisticRegression() |
10.021 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 343 |
0.723 |
0.705 |
0.742 |
LinearSVC() |
0.028 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
MinMaxScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 344 |
0.723 |
0.702 |
0.745 |
XGBClassifier() |
<NA> |
<NA> |
8.000 |
862.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.046 |
4.000 |
0.758 |
0.936 |
0.930 |
0.437 |
1.861 |
SimpleImputer() |
None |
None |
OneHotEncoder() |
| 345 |
0.723 |
0.704 |
0.742 |
LogisticRegression() |
0.361 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
MinMaxScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 346 |
0.722 |
0.705 |
0.740 |
ExtraTreesClassifier() |
<NA> |
0.019 |
73.000 |
1,164.000 |
4.000 |
43.000 |
0.502 |
entropy |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 347 |
0.722 |
0.700 |
0.745 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
None |
CustomOrdinalEncoder() |
| 348 |
0.722 |
0.700 |
0.744 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
StandardScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 349 |
0.722 |
0.705 |
0.738 |
LinearSVC() |
4.575 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 350 |
0.722 |
0.694 |
0.749 |
LinearSVC() |
100.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
None |
OneHotEncoder() |
| 351 |
0.719 |
0.699 |
0.739 |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.300 |
50.000 |
1.000 |
0.642 |
0.738 |
0.000 |
3.218 |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 352 |
0.717 |
0.696 |
0.738 |
XGBClassifier() |
<NA> |
<NA> |
9.000 |
1,581.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.052 |
8.000 |
0.985 |
0.913 |
0.626 |
0.013 |
1.419 |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 353 |
0.717 |
0.689 |
0.745 |
LinearSVC() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
None |
OneHotEncoder() |
| 354 |
0.711 |
0.689 |
0.734 |
LogisticRegression() |
0.019 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 355 |
0.709 |
0.685 |
0.733 |
LinearSVC() |
0.002 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 356 |
0.709 |
0.680 |
0.737 |
LinearSVC() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 357 |
0.707 |
0.685 |
0.729 |
LinearSVC() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
StandardScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 358 |
0.707 |
0.681 |
0.733 |
LinearSVC() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
None |
OneHotEncoder() |
| 359 |
0.706 |
0.680 |
0.733 |
XGBClassifier() |
<NA> |
<NA> |
2.000 |
1,866.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.064 |
15.000 |
0.546 |
0.796 |
0.885 |
0.034 |
2.370 |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 360 |
0.706 |
0.690 |
0.723 |
XGBClassifier() |
<NA> |
<NA> |
17.000 |
1,332.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.298 |
1.000 |
0.507 |
0.790 |
0.512 |
0.003 |
1.642 |
SimpleImputer() |
None |
PCA('mle') |
OneHotEncoder() |
| 361 |
0.706 |
0.684 |
0.728 |
XGBClassifier() |
<NA> |
<NA> |
2.000 |
1,352.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.067 |
10.000 |
0.952 |
0.516 |
0.591 |
0.061 |
1.080 |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 362 |
0.706 |
0.684 |
0.727 |
LinearSVC() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 363 |
0.705 |
0.681 |
0.729 |
LinearSVC() |
8.350 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 364 |
0.705 |
0.682 |
0.728 |
LogisticRegression() |
0.001 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
None |
CustomOrdinalEncoder() |
| 365 |
0.703 |
0.680 |
0.726 |
XGBClassifier() |
<NA> |
<NA> |
15.000 |
1,670.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.209 |
17.000 |
0.637 |
0.984 |
0.537 |
0.000 |
2.331 |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 366 |
0.701 |
0.675 |
0.727 |
XGBClassifier() |
<NA> |
<NA> |
3.000 |
1,618.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.132 |
3.000 |
0.691 |
0.993 |
0.911 |
0.054 |
1.880 |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |
| 367 |
0.700 |
0.666 |
0.735 |
LinearSVC() |
76.004 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
StandardScaler() |
PCA('mle') |
OneHotEncoder() |
| 368 |
0.699 |
0.675 |
0.724 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 369 |
0.699 |
0.675 |
0.724 |
LogisticRegression() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
None |
CustomOrdinalEncoder() |
| 370 |
0.695 |
0.669 |
0.721 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
500.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
50.000 |
1.000 |
1.000 |
0.789 |
0.020 |
2.377 |
SimpleImputer(strategy='median') |
None |
None |
OneHotEncoder() |
| 371 |
0.693 |
0.670 |
0.716 |
XGBClassifier() |
<NA> |
<NA> |
9.000 |
1,131.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.258 |
6.000 |
0.911 |
0.921 |
0.826 |
0.003 |
2.131 |
SimpleImputer() |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 372 |
0.685 |
0.665 |
0.706 |
XGBClassifier() |
<NA> |
<NA> |
1.000 |
1,705.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.233 |
28.000 |
0.849 |
0.616 |
0.603 |
0.000 |
1.856 |
SimpleImputer() |
None |
PCA('mle') |
CustomOrdinalEncoder() |
| 373 |
0.685 |
0.660 |
0.710 |
XGBClassifier() |
<NA> |
<NA> |
15.000 |
868.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.010 |
26.000 |
0.516 |
0.850 |
0.976 |
0.535 |
1.698 |
SimpleImputer(strategy='median') |
None |
PCA('mle') |
OneHotEncoder() |
| 374 |
0.679 |
0.652 |
0.706 |
LinearSVC() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='median') |
MinMaxScaler() |
PCA('mle') |
OneHotEncoder() |
| 375 |
0.674 |
0.651 |
0.696 |
LinearSVC() |
96.749 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
MinMaxScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 376 |
0.671 |
0.648 |
0.694 |
LinearSVC() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
None |
CustomOrdinalEncoder() |
| 377 |
0.669 |
0.617 |
0.721 |
LinearSVC() |
97.043 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer(strategy='most_frequent') |
StandardScaler() |
None |
CustomOrdinalEncoder() |
| 378 |
0.664 |
0.642 |
0.687 |
LinearSVC() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
PCA('mle') |
CustomOrdinalEncoder() |
| 379 |
0.650 |
0.623 |
0.676 |
LinearSVC() |
0.000 |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
<NA> |
SimpleImputer() |
MinMaxScaler() |
None |
OneHotEncoder() |
| 380 |
0.500 |
<NA> |
<NA> |
XGBClassifier() |
<NA> |
<NA> |
20.000 |
1,914.000 |
<NA> |
<NA> |
<NA> |
<NA> |
0.028 |
50.000 |
0.500 |
0.731 |
0.626 |
0.001 |
1.956 |
SimpleImputer(strategy='median') |
None |
None |
CustomOrdinalEncoder() |